Sunday, December 13, 2015

Typical Industrial Use Case: - Machine and Sensor Data Analytics

“This use case mainly focuses on the Real time streaming data that are coming from the sensors installed inside mines. Machines with high configurations (like memory storages, RAM capacity) have sensors installed on it. Every machine is installed with 2000-3000 sensors and each sensor will produce 1 to 2 MB of data per Sec. The entire mining area has more than 1000 machines.
All the systems are monitored by centralizing administrative network. So the size of data that is going to generate per machine is 20 Terabytes/hour. This is going to be a big challenge to process and do analytics on this huge real time geographical data (Temperature, Humidity, Seismic activity, Radiation activity). In this use case, two types of analytics involved are predictive and prescriptive.”
Processing Peta bytes of streaming data and predicting the weather patterns based on Statistical algorithms in a fraction of seconds may give the solution for identifying the potential Risk Analysis Patterns. Here the weather prediction and disaster risk analysis engine provides the required solution for the use case. This is the best solution provided by the BDA to the Mining Industry for Disaster Risk Management.
An Enterprise distribution of Hadoop provides enterprise class architecture for BDA and for its applications. These are Cloudera distributed Hadoop (CDH), Horton works, IBM Big Insights and MapR. For Real Time Online analytics, IBM had come up with IBM Info sphere streams. The enterprise editions provide scalable, secure, distributed environment for real time and offline data analytics.

These systems will provide advanced analytics, Sentiment analytics and Text mining patterns. Different business intelligence (BI) Tools like Tableau, Qlikview and Pentaho provides live Visualizations and Reporting and add-on value to BDA in terms of front end visualization.
Conclusion
BDA is going to play a vital role in every industry and it adds huge value to its business. As Science and technology grows, we are going to see some advanced analytics in the coming future and BDA is going to gear up with the much more advanced neural techniques, cognitive analytics techniques and give us the valuable outcomes from it.

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